Nemo-12b-Humanize-SFT-v0.2-Quarter-GGUF
| Property | Value |
|---|---|
| Model Size | 12B parameters |
| Author | mradermacher |
| Model Type | GGUF Quantized Language Model |
| Source | HuggingFace |
What is Nemo-12b-Humanize-SFT-v0.2-Quarter-GGUF?
This is a quantized version of the Nemo-12b-Humanize model, specifically optimized for efficient deployment while maintaining performance. The model offers various quantization options to balance between model size and quality, ranging from 4.9GB to 13.1GB.
Implementation Details
The model provides multiple quantization variants, each optimized for different use cases:
- Q2_K: Smallest size at 4.9GB
- Q4_K_S/M: Fast and recommended variants (7.2-7.6GB)
- Q6_K: Very good quality at 10.2GB
- Q8_0: Highest quality at 13.1GB
- IQ4_XS: Intermediate option at 6.9GB
Core Capabilities
- Efficient memory usage through various quantization options
- Optimized for human-like responses
- Multiple performance-size tradeoff options
- Compatible with standard GGUF file formats
Frequently Asked Questions
Q: What makes this model unique?
The model offers a wide range of quantization options, allowing users to choose the optimal balance between model size and performance for their specific use case. The availability of both standard and IQ-quants provides flexibility in deployment scenarios.
Q: What are the recommended use cases?
For most applications, the Q4_K_S or Q4_K_M variants are recommended as they offer a good balance of speed and quality. For highest quality needs, the Q8_0 variant is recommended, while Q2_K is suitable for resource-constrained environments.
